Zhongshan Zhu

Lance Stokes-

I thought that Lance had graphs that were very well made. He did a good job of converting the 3 point percentage to take into account the extra 1 point value that a 3 pointer has versus a 2 pointer when including the efficient field goal percentage as a line on the graph. I also thought that sorting the shooting percentages by coaches using a colored fill on the line chart. It helped to give context to how impressive Dean Smith's teams are. The presentation did a good job of building on the graph and incorporating more aspects to the graph to highlight certain aspects. Highlighting the different distances of the 3 point lines make it easy to view the context of the 3 pointer (some 3s were easier than others because of the distance of the 3 point line in that year).

I would've however, liked a like that simply multiplies the 3 point percentages by x1.5. This is because efficient field goal percentage takes into account both 3 and 2 point shooting and perhaps a line in which only the 3 point percentage is converted would be useful. It also seemed that all of the information could've been put on one graph. Toggles be useful to allow certain lines to be turned on and off.

Overall, I thought Lance did a great on his visualizations, His visuals were clear and easy to understand.

Lingjie & Yiyang-

There definitely were a lot of visualizations included by Lingjie and Yiyang. I thought it was impressive how they included so types of visualizations into their presentation. Taking into consideration the population when showing crime rates was quite smart by Lingjie and Yiyang. Yiyang and Lingjie also were able to create visualizations that took into account a ton of different aspect (types of crime, population, crime rate, by year, property vs. violent, etc). It is obvious that some states have a higher population than others and therefore more crime as a result. Finding crime rates helps solve this issue. I really liked how they included toggles in many of their visualizations. the ability to narrow the results by selecting a range of years can be incredibly useful for potential users. One thing that I really liked was when they included bar graphs right next to the map visualizations, this made it really easy to look back and forth between the two graphs (Though I noticed they used different ranges of the color scale which may be confusing).

I didn't really like the line graphs. Even though the data was shown for a range of years, the resulting graphs didn't seem to add too much value. I also thought that the scatter graphs failed to a really noticeable irregular correlations (and the high correlation between population and crime was quite obvious) and perhaps could've been left out. Overall, I thought that perhaps a more narrow focus for the information was needed. The two seemed to have data on many aspects of crime and perhaps comparing each aspect to each other led to too many visualizations (22 sheets of visualizations) which may overwhelm a viewer. They also should standardize the color scale when they have 2 types of visualization on one page because it may be confusing when the same shade of color means different things on different charts.

Overall, I was impressed by the visualizations made by Lingjie & Yiyang. They definitely helped me visualize a ton of information on the crime rates in the United States.

I have completed the graded portion BEFORE looking at anyone else's work on this assignment. Zhongshan Zhu.